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eligible) Pursuing a degree in the atmospheric or related sciences at a US accredited institution. Have a minimum grade point average of 3.0 on a 4.0-point scale. U.S. citizens or hold permanent resident
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researchers, to undertake your own innovative research in and across the fields of robotics, electrical power and signal processing, machine learning and AI within the School of Electrical Engineering and
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-based storage system, using Microsoft Office and other programs. Collect data and take notes during field work, and during counting insect densities from field-collected samples. Required Qualifications
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made on-line by clicking the 'Apply' button, above. Online applications will be accepted by the automated system until 10pm of the closing date. Any queries regarding the application process may be
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include: An updated CV A letter of interest One writing sample (no more than one writing sample will be read) Application Procedure (online application only) Please click "Apply Now" to submit your
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Number of Vacancies 3 Anticipated Appointment Begin Date 06/01/2025 Anticipated Appointment End Date Posting Date 02/01/2025 Full Consideration Date Closing Date 11/01/2025 Indicate how you intend
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to establish priorities and meet deadlines. Computer competency with Microsoft Office Software, Reference Manager or related software. Equity and diversity are essential to academic excellence. An open and
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" page and uploading documents in the "My Cover Letters and Attachments" section. To request an accommodation during the application process, please e-mail employ@umn.edu or call (612) 624-8647. Diversity
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optimisation techniques and AI-based models to support decision-making in microgrid design and operation. Working in collaboration with a leading global mission critical firm of engineers, this project offers
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minerals and their chemical constituents, water and living organisms. Ultimately, regolith science is the study of Earth’s critical zone: research into the processes that sustain life today and in the past